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Deep convolutional neural network for fast determination of the rock strength parameters using drilling data

  • Published:2019-11 Issue: Volume:123 Page:104084
  • ISSN:1365-1609
  • Container-title:International Journal of Rock Mechanics and Mining Sciences
  • language:en
  • Short-container-title:International Journal of Rock Mechanics and Mining Sciences

Author:

He Mingming,Zhang Zhiqiang,Ren Jie,Huan Jiuyang,Li Guofeng,Chen Yunsheng,Li Ning

Funder

National Natural Science Foundation of China

Natural Science Basic Research Plan in Shaanxi Province of China

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology

Reference64 articles.

1. Estimating rock strength parameters using drilling data;Kalantari;Int J Rock Mech Min Sci,2018

2. A new nail penetration test for estimation of rock strength;Palassi;Int J Rock Mech Min Sci,2014

3. Estimation of rock strength using scratch test by a miniature disc cutter on rock cores or inside boreholes;Naeimipour;Int J Rock Mech Min Sci,2018

4. Rock strength determination from scratch tests;Richard;Eng Geol,2012

5. A theory on the basic mechanics of coal ploughing;Evans,1962
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